Logistics service digital management system

Abstract

The invention relates to the technical field of logistics monitoring, in particular to a logistics service digital management system which comprises an environment sensor, an electronic nose and a visual sensor which are all arranged in a refrigeration logistics transportation device for transporting fruits and vegetables. The acquisition module is used for acquiring environment data of refrigerated fruits and vegetables at an environment acquisition frequency, acquiring smell data of the fruits and vegetables at an electronic nose acquisition frequency and acquiring surface images of the fruits and vegetables at a visual acquisition frequency; the state judgment module is used for identifying internal and external rotting states, pesticide residue states and appearance abnormal states of the fruits and vegetables; the frequency adjusting module is used for adjusting the environment acquisition frequency, the electronic nose acquisition frequency and the visual acquisition frequency; and the block chain storage module is used for storing the environment data, the smell data and the surface image which are acquired for multiple times in an account book of a block chain. According to the invention, the collection frequency of the sensor and the data volume stored in the account book of the block chain are controlled through the judgment results of various fruit and vegetable states, and the high processing speed of the block chain is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics monitoring, and in particular to a digital management system for logistics services. Background Art

[0002] Refrigerated logistics generally refers to a systematic project in which refrigerated items are kept in a specified low-temperature environment throughout the entire process from production, storage, transportation, sales to consumption, in order to ensure the quality of the items and reduce the loss of items. It was established with the advancement of science and technology and the development of refrigeration technology. It is a low-temperature logistics process based on refrigeration technology and using refrigeration technology as a means.

[0003] In order to constantly monitor the status of fruits and vegetables in the logistics and transportation equipment, and to prove the relationship between the causes of quality problems such as rot, sourness, surface pits, and surface insect bites of fruits and vegetables and the environmental factors such as the refrigerated temperature, refrigerated humidity, and ventilation volume of the logistics and transportation equipment, and to achieve accurate division of responsibilities for the causes of fruit and vegetable quality decline in logistics and transportation, blockchain technology has been used to store sensor collected data, and the distributed storage and point-to-point transmission of blockchain technology have been used to ensure the non-tamperability of sensor collected data, and to ensure the security and transparency of the data.

[0004] However, since the ledger of blockchain technology is stored in a distributed manner, when its ledger stores data collected by sensors for a long time and at multiple locations, it is easy to cause the amount of data in the ledger to be too large, which in turn leads to problems such as increased storage costs, slower synchronization speeds, increased delays in new nodes joining the network, slower transaction speeds, and increased network congestion.

[0005] Therefore, how to make the data collected by sensors in logistics service transportation accurately reflect the status of fruits and vegetables while reducing the amount of data stored in the blockchain ledger to improve the performance of the blockchain is a technical problem that needs to be solved. Summary of the invention

[0006] To this end, the present invention provides a digital management system for logistics services, which can accurately judge the internal and external decay status, pesticide residue status and abnormal appearance status of fruits and vegetables through the collection of images by visual sensors and data by electronic noses, and then control the collection frequency of sensors and the amount of data stored in the blockchain account book according to the judgment results, and make accurate alarms through the smart contracts of the blockchain, thereby achieving high processing speed and low storage requirements of the blockchain and reducing the burden on users to view the account books.

[0007] To achieve the above objectives, the present invention proposes a digital management system for logistics services, comprising:

[0008] Environmental sensors, electronic noses and visual sensors are all arranged in a refrigerated logistics transport device for transporting fruits and vegetables, and are used to obtain environmental data of refrigerated fruits and vegetables at an environmental acquisition frequency, obtain odor data of fruits and vegetables at an electronic nose acquisition frequency, and obtain surface images of fruits and vegetables at a visual acquisition frequency;

[0009] A state judgment module, for identifying the internal and external decay state, pesticide residue state and appearance abnormal state of fruits and vegetables according to the odor data and the surface image;

[0010] A frequency adjustment module, for adjusting the environmental collection frequency, the electronic nose collection frequency and the visual collection frequency according to the internal and external decay state, the pesticide residue state and / or the abnormal appearance state;

[0011] A blockchain storage module, for storing the environmental data, the odor data and the surface image collected multiple times in a blockchain account book according to the internal and external decay state, the pesticide residue state and / or the abnormal appearance state;

[0012] An alarm module is used to determine whether to generate alarm information including the environmental data, the odor data and the surface image according to the internal and external decay status, the pesticide residue status and the abnormal appearance status, and send the alarm information through the smart contract of the blockchain.

[0013] Furthermore, the state judgment module includes a support vector machine model, a neural network model and a comprehensive state determination unit;

[0014] The support vector machine model is used to identify the odor decay characteristics and the pesticide residue status according to the odor data;

[0015] The neural network model is used to identify the surface decay characteristics and the abnormal appearance state according to the surface image;

[0016] The comprehensive state determination unit is used to determine the internal and external decay states according to the odor decay characteristics and the surface decay characteristics.

[0017] Furthermore, the internal and external decay states include internal and external decay states, internal decay states, external decay states and decay causes, wherein the decay causes include physical decay, microbial decay and oxidative decay;

[0018] The frequency adjustment module is used to increase the environment acquisition frequency by the first environment dynamic frequency when the comprehensive state determination unit determines that the internal and external decay state is a simultaneous internal and external decay state or an external decay state, and the decay cause is microbial decay or oxidative decay;

[0019] The frequency adjustment module is further used to increase the electronic nose collection frequency by a first odor dynamic frequency when the comprehensive state determination unit determines that the internal and external decay state is an internal decay state and the decay cause is microbial decay or oxidative decay;

[0020] The frequency adjustment module is also used to increase the visual acquisition frequency by a first visual dynamic frequency when the comprehensive state determination unit determines that the cause of decay is physical decay.

[0021] Furthermore, the internal and external decay state also includes the decay grade;

[0022] The frequency adjustment module is used to adjust the first environmental dynamic frequency, the first odor dynamic frequency or the first visual dynamic frequency according to the duration of the change in the decay level.

[0023] Further, the pesticide residue state includes the pesticide residue level, and the appearance abnormality state includes the appearance abnormality level;

[0024] The frequency adjustment module is further used to increase the electronic nose collection frequency by a second odor dynamic frequency and the environment collection frequency by a second environment dynamic frequency when the support vector machine model identifies the pesticide residue state, and the second odor dynamic frequency and the second environment dynamic frequency respectively correspond to the change duration of the pesticide residue level;

[0025] The frequency adjustment module is also used to increase the visual acquisition frequency by a second visual dynamic frequency and the environmental acquisition frequency by a third environmental dynamic frequency when the neural network model identifies the abnormal appearance state, and the second visual dynamic frequency and the third environmental dynamic frequency respectively correspond to the duration of change of the appearance abnormality level.

[0026] In the above scheme, the sensor collection frequency is dynamically adjusted according to various fruit and vegetable states, which reduces the energy consumption of running the sensor collection and also reduces the amount of data stored in the blockchain ledger.

[0027] Furthermore, the alarm module is used to send the alarm information through the smart contract of the blockchain when the environmental data exceeds the environmental threshold, wherein the environmental threshold is determined based on the internal and external decay state, the pesticide residue state and / or the abnormal appearance state.

[0028] Furthermore, the blockchain storage module is used to merge and store the plurality of environmental data, the odor data and the surface image in the blockchain account book when the state judgment module identifies the internal and external decay state, the pesticide residue state or the abnormal appearance state.

[0029] Furthermore, the blockchain storage module is used to store the standard values ​​of the multiple environmental data, the standard values ​​of the multiple odor data, and the fused images generated by the image fusion algorithm of the multiple surface images in the ledger of the blockchain.

[0030] In the above scheme, the merge processing of the blockchain's ledger storage data is realized to ensure that the data is not distorted and reduce useless data.

[0031] Furthermore, the alarm information includes the internal and external decay status, the pesticide residue status and the abnormal appearance status, and the correlation between the status and the environmental data.

[0032] Furthermore, the blockchain ledger is synchronously set up in the systems of the regulatory agency and the enterprise;

[0033] The blockchain storage module is used to synchronously send the alarm information to the systems of the regulatory agency and the enterprise.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] 1. Through the collection of images by visual sensors and data by electronic noses, accurate judgments can be made on the internal and external decay status, pesticide residue status, and abnormal appearance status of fruits and vegetables. The collection frequency of the sensor and the amount of data stored in the blockchain account book can be controlled based on the judgment results. Accurate alarms can be made through the blockchain's smart contracts, achieving high processing speed and low storage requirements for blockchain, reducing the burden on users to view the account book.

[0036] 2. Dynamic adjustment of the sensor collection frequency is achieved according to the various states of fruits and vegetables, which reduces the energy consumption of running sensor collection and also reduces the amount of data stored in the blockchain ledger.

[0037] 3. The merge processing of blockchain ledger storage data is realized to ensure data accuracy and reduce useless data. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A schematic diagram of the general structure of a digital management system for logistics services according to an embodiment of the present invention;

[0039] Figure 2 A schematic diagram of the general flow of a digital management system for logistics services according to an embodiment of the present invention;

[0040] Figure 3 A schematic diagram of a detailed sensor acquisition frequency adjustment process of a digital management system for logistics services according to an embodiment of the present invention;

[0041] Figure 4This is a detailed blockchain ledger and smart contract sending judgment diagram for the logistics service digital management system in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0043] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0044] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0045] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0046] like Figures 1 to 4 As shown, the present invention provides a digital management system for logistics services, which can accurately judge the internal and external decay state, pesticide residue state and abnormal appearance state of fruits and vegetables through the collection of images by visual sensors and data by electronic noses, and then control the collection frequency of sensors and the amount of data stored in the blockchain account book according to the judgment results, and make accurate alarms through the smart contracts of the blockchain, thereby achieving high processing speed and low storage requirements of the blockchain and reducing the burden of users viewing the account books.

[0047] in, Figure 1 A schematic diagram of the general structure of a digital management system for logistics services according to an embodiment of the present invention; Figure 2 A schematic diagram of the general flow of a digital management system for logistics services according to an embodiment of the present invention; Figure 3 A schematic diagram of a detailed sensor acquisition frequency adjustment process of a digital management system for logistics services according to an embodiment of the present invention; Figure 4This is a detailed blockchain ledger and smart contract sending judgment diagram for the logistics service digital management system in an embodiment of the present invention.

[0048] Embodiment 1:

[0049] like Figures 1 to 4 As shown, this embodiment proposes a digital management system for logistics services, including: an environmental sensor, an electronic nose, and a visual sensor, all of which are arranged in a refrigerated logistics transportation device for transporting fruits and vegetables, and are respectively used to obtain environmental data of refrigerated fruits and vegetables at an environmental acquisition frequency, obtain odor data of fruits and vegetables at an electronic nose acquisition frequency, and obtain surface images of fruits and vegetables at a visual acquisition frequency;

[0050] A state judgment module, used to identify the internal and external decay state, pesticide residue state and abnormal appearance state of fruits and vegetables according to the odor data and the surface image; a frequency adjustment module, used to adjust the environmental collection frequency, the electronic nose collection frequency and the visual collection frequency according to the internal and external decay state, the pesticide residue state and / or the abnormal appearance state;

[0051] A blockchain storage module is used to store the environmental data, the odor data and the surface image collected multiple times in a blockchain account book according to the internal and external decay status, the pesticide residue status and / or the abnormal appearance status; an alarm module is used to determine whether to generate alarm information including the environmental data, the odor data and the surface image according to the internal and external decay status, the pesticide residue status and the abnormal appearance status, and send the alarm information through the blockchain smart contract.

[0052] From the perspective of the structure of blockchain, it exists in the form of a distributed ledger, and the ledger of each block contains the hash value of the previous block, forming an unalterable chain structure. In this system, all participants, including regulatory authorities, farmers, sales terminals and transportation terminals, can obtain complete chain information. The design of distributed storage ensures that even if a single node fails, information will not be lost, thereby improving the stability and reliability of the system. The smart contract function of blockchain can ensure that the contract is automatically executed when specific conditions are met. This embodiment is used to automatically generate alarm information and alarm when it is judged that the internal and external rotten state, the pesticide residue state and the abnormal appearance state are longer than the set time. The set time is 30 seconds to avoid misjudgment caused by inaccurate sensor acquisition values. The set time can also be changed according to the actual type of fruits and vegetables. The set time is recorded in the ledger of the blockchain as a modification of the initial judgment time of the sensor and the set value to prevent malicious modification at the transportation end.

[0053] Furthermore, the state judgment module includes a support vector machine model, a neural network model and a comprehensive state determination unit; the support vector machine model is used to identify the odor decay characteristics and the pesticide residue state based on the odor data; the neural network model is used to identify the surface decay characteristics and the abnormal appearance state based on the surface image; the comprehensive state determination unit is used to determine the internal and external decay states based on the odor decay characteristics and the surface decay characteristics.

[0054] Specifically, the electronic nose can capture volatile organic compounds in the odors produced by a large number of fruits and vegetables in refrigerated logistics transportation devices, and use machine learning algorithms to perform data analysis and classification. Specifically, the odor classification task is performed through a support vector machine (SVM) model. The support vector machine model has an accuracy of up to 96% in classifying pesticide odors, so pesticide residues are judged only by the support vector machine model and odor data. However, its accuracy in distinguishing the odors of rotten fruits and vegetables caused by mold and microorganisms is about 80%, so it is necessary to combine the odor classification results it outputs with the judgment results of the image for comprehensive judgment to improve the accuracy of fruit and vegetable rot judgment.

[0055] More specifically, the support vector machine model includes two processes: model training and odor recognition. The model training process is specifically as follows: the odor data with category identification is preprocessed and feature extracted to obtain a 45-dimensional basic pattern recognition library, feature normalization processing, selection of the kernel function of the support vector machine, selection of the radial basis kernel function support vector machine, and the grid method is used to find the optimal parameters of the kernel function, wherein the category identification includes the pesticide categories of cypermethrin, imidacloprid, benzyl dichloride, soybean seed dressing agent and organophosphorus pesticides, as well as the decay categories of acidic odor and stinky odor. The support vector machine model is trained with the normalized feature set, and the parameters of the support vector machine model are output. The odor recognition process is as follows: the odor data to be tested is preprocessed and feature extracted to obtain a 45-dimensional test set, the normalized test set is input into the trained support vector machine model, and the category of the odor data to be tested is output. The pesticide residue and decay odor judgment time are determined by calculation, and the pesticide residue level and odor decay level of fruits and vegetables are determined. The pesticide residue level and odor decay level are level one to level five with increasing odor judgment time, and the odor judgment time is 40 seconds, 50 seconds, and up to 80 seconds respectively.

[0056] Appearance quality is the most intuitive quality feature of fruits and vegetables. Automatic defect detection of fruits and vegetables is realized by using convolutional neural networks, and multiple fruits and vegetables in a given image are accurately distinguished through an efficient segmentation process. Generate comprehensive image rot discrimination and image rot grade of fruits and vegetables based on concave features, rot features, discoloration features and deformation features. Specifically, when it is judged that fruits and vegetables have rot features, the fruits and vegetables are judged to be in an image rot state. If there are no rot features, and at least two of the concave features, discoloration features and deformation features are present, the fruits and vegetables are judged to be in an abnormal appearance state. The image rot grade and the appearance abnormality grade are determined according to the ratio of the area where the rot features / concave features, discoloration features and deformation features are judged to exist to the total image detection window area. The image rot grade and the appearance abnormality grade are grade one to grade five with the said ratio increasing in sequence, and the ratios are respectively more than 40%, more than 50% and more than 80%.

[0057] Furthermore, the internal and external decay states include internal and external decay states, internal decay states, external decay states and decay causes, wherein the decay causes include physical decay, microbial decay and oxidative decay;

[0058] The frequency adjustment module is used to increase the environment collection frequency by the first environment dynamic frequency when the comprehensive state determination unit determines that the internal and external decay state is a simultaneous internal and external decay state or an external decay state, and the cause of decay is microbial decay or oxidative decay; the frequency adjustment module is also used to increase the electronic nose collection frequency by the first odor dynamic frequency when the comprehensive state determination unit determines that the internal and external decay state is an internal decay state, and the cause of decay is microbial decay or oxidative decay; the frequency adjustment module is also used to increase the visual collection frequency by the first visual dynamic frequency when the comprehensive state determination unit determines that the cause of decay is physical decay.

[0059] Specifically, if the odor decay level is less than or equal to level two, and the image decay level is greater than or equal to level three, it is determined that the internal and external decay state is an external decay state, the decay cause is physical decay, and the decay level is medium.

[0060] If the odor decay level is less than or equal to level two, and the image decay level is less than or equal to level two, then the internal and external decay state is determined to be a simultaneous internal and external decay state, the decay cause is microbial decay or oxidative decay determined based on the odor data, and the decay level is a low level.

[0061] If the odor decay level is greater than or equal to level three, and the image decay level is less than or equal to level two, the internal and external decay state is determined to be an internal decay state, the decay cause is microbial decay or oxidative decay determined based on the odor data, and the decay level is medium.

[0062] If the odor decay level is greater than or equal to level three, and the image decay level is greater than or equal to level three, then the internal and external decay state is determined to be a simultaneous internal and external decay state, the decay cause is a comprehensive decay including physical decay, microbial decay or oxidative decay, and the decay level is a high level.

[0063] Furthermore, the internal and external decay states also include a decay level; the frequency adjustment module is used to adjust the first environmental dynamic frequency, the first odor dynamic frequency or the first visual dynamic frequency according to the duration of the change of the decay level.

[0064] Specifically, the initial values ​​of the environment acquisition frequency and the electronic nose acquisition frequency are both 10 seconds / time, and the range constraints of the environment acquisition frequency and the electronic nose acquisition frequency are both 4 seconds / time to 15 seconds / time. The first environment dynamic frequency / first odor dynamic frequency is the standard value corresponding to the decay level divided by the logarithm of the change time of the decay level with a base of 10, minus the standard value corresponding to the decay level. Therefore, within 10 seconds of the decay level change, the logarithm of the change time with a base of 10 is less than 1, the standard value divided by a number less than 1 increases, and the first environment dynamic frequency / first odor dynamic frequency obtained by subtracting the original standard value from the increased standard value is a positive number. Similarly, 10 seconds after the change occurs, the first environment dynamic frequency / first odor dynamic frequency is a negative number. The standard values ​​of the low level, medium level and high level are 2 seconds / time, 3 seconds / time and 5 seconds / time, respectively. After the standard value changes for more than 40 seconds, the environment acquisition frequency and the electronic nose acquisition frequency are restored to the initial value of 10 seconds / time.

[0065] Specifically, the visual acquisition frequency is initially 15 seconds / time, and the range of the visual acquisition frequency is constrained to be 10 seconds / time to 25 seconds / time. The first visual dynamic frequency is the standard value corresponding to the decay level divided by the logarithm of the change time of the decay level with base 15, minus the standard value corresponding to the decay level. Therefore, within 15 seconds of the decay level change, the logarithm of the change time with base 15 is less than 1, the standard value divided by a number less than 1 increases, and the first visual dynamic frequency obtained by subtracting the increased standard value from the original standard value is a positive number. Similarly, 15 seconds after the change occurs, the first visual dynamic frequency is negative, and the visual acquisition frequency is reduced. The standard values ​​of the low level, medium level, and high level are 5 seconds / time, 6 seconds / time, and 8 seconds / time, respectively.

[0066] Furthermore, the pesticide residue state includes the pesticide residue level, and the abnormal appearance state includes the abnormal appearance level; the frequency adjustment module is also used to increase the electronic nose collection frequency by a second odor dynamic frequency and the environment collection frequency by a second environment dynamic frequency when the support vector machine model identifies the pesticide residue state, and the second odor dynamic frequency and the second environment dynamic frequency respectively correspond to the duration of change of the pesticide residue level; the frequency adjustment module is also used to increase the visual collection frequency by a second visual dynamic frequency and the environment collection frequency by a third environment dynamic frequency when the neural network model identifies the abnormal appearance state, and the second visual dynamic frequency and the third environment dynamic frequency respectively correspond to the duration of change of the abnormal appearance level.

[0067] Specifically, the second odor dynamic frequency / second environment dynamic frequency is the standard value corresponding to the pesticide residue level divided by the logarithm of the change time of the pesticide residue level with base 16, minus the standard value corresponding to the pesticide residue level. Therefore, within 16 seconds when the decay level changes, the logarithm of the change time with base 16 is less than 1, the standard value divided by a number less than 1 increases, and the second odor dynamic frequency / second environment dynamic frequency obtained by subtracting the increased standard value from the original standard value is a positive number. Similarly, the second odor dynamic frequency / second environment dynamic frequency is a positive number, and 16 seconds after the change occurs, the second odor dynamic frequency / second environment dynamic frequency is a negative number. The standard values ​​of the pesticide residue level are 2 seconds / time, 3 seconds / time and 5 seconds / time from low to high.

[0068] Specifically, the second visual dynamic frequency / third environmental dynamic frequency is the standard value corresponding to the appearance abnormality level divided by the logarithm of the change time of the appearance abnormality level with base 16, minus the standard value corresponding to the appearance abnormality level. Therefore, when the logarithm of the change time with base 16 is less than 1, the standard value increases when divided by a number less than 1, and the second visual dynamic frequency / third environmental dynamic frequency obtained by subtracting the increased standard value from the original standard value is a positive number. Similarly, 16 seconds after the change occurs, the second odor dynamic frequency / second environmental dynamic frequency is a negative number. The standard values ​​of the pesticide residue levels are 2 seconds / time, 3 seconds / time, and 5 seconds / time, from low to high.

[0069] In the above scheme, the sensor collection frequency is dynamically adjusted according to various fruit and vegetable states, which reduces the energy consumption of running the sensor collection and also reduces the amount of data stored in the blockchain ledger.

[0070] Furthermore, the alarm module is used to send the alarm information through the smart contract of the blockchain when the environmental data exceeds the environmental threshold, wherein the environmental threshold is determined based on the internal and external decay state, the pesticide residue state and / or the abnormal appearance state.

[0071] Specifically, the environmental sensors include a temperature sensor, a humidity sensor and a ventilation sensor. The lower and upper limits of the environmental thresholds corresponding to the temperature sensor are -8°C and 12°C, respectively; the lower and upper limits of the environmental thresholds corresponding to the humidity sensor are 45% and 75%, respectively; and the lower and upper limits of the environmental thresholds corresponding to the ventilation sensor are 6000m / s and 800m / s. 3 / h、7400m 3 / h. If one of the internal and external decay state, the pesticide residue state or the abnormal appearance state is detected, the lower and upper limits of the environmental threshold corresponding to the temperature sensor will be increased by 1°C and decreased by 1°C respectively, the lower and upper limits of the environmental threshold corresponding to the humidity sensor will be increased by 3% and decreased by 3% respectively, and the lower and upper limits of the environmental threshold corresponding to the ventilation volume sensor will be increased by 50m 3 / h, reduce by 50m 3 / h. It complies with the national standard GB29753 "Safety Requirements and Test Methods for Road Transport, Food and Biological Products Refrigerated Trucks".

[0072] Furthermore, the blockchain storage module is used to merge and store the plurality of environmental data, the odor data and the surface image in the blockchain account book when the state judgment module identifies the internal and external decay state, the pesticide residue state or the abnormal appearance state.

[0073] Furthermore, the blockchain storage module is used to store the standard values ​​of the multiple environmental data, the standard values ​​of the multiple odor data, and the fused images generated by the image fusion algorithm of the multiple surface images in the ledger of the blockchain.

[0074] Specifically, the average of the plurality of environmental data collected within 20 seconds is used as the standard value of the environmental data, and the average of the plurality of odor data collected within 20 seconds is used as the standard value of the odor data.

[0075] Specifically, the image fusion algorithm adopts an alpha fusion model, and after the plurality of surface images collected within 10 seconds are cropped with the same labeled fruit and vegetable as the center, they are input into the alpha fusion model for image fusion. The alpha fusion model directly weights the image at each corresponding position of the two images participating in the fusion, and the alpha fusion model controls the proportion of each frame image participating in the fusion.

[0076] In the above scheme, the merge processing of the blockchain's ledger storage data is realized to ensure that the data is not distorted and reduce useless data.

[0077] Furthermore, the alarm information includes the internal and external decay state, the pesticide residue state and the abnormal appearance state, and the correlation with the environmental data is determined. If the period of occurrence of the internal and external decay state, the pesticide residue state and the abnormal appearance state overlaps with the period of change of the environmental data, the correlation is determined, that is, the longer the overlap time, the greater the correlation.

[0078] Furthermore, the blockchain account book is synchronously set in the systems of the regulatory agency and the enterprise; the blockchain storage module is used to synchronously send the alarm information to the systems of the regulatory agency and the enterprise. The regulatory agency is the Ministry of Agriculture and Rural Affairs.

[0079] It is understandable that by collecting images from visual sensors and data from electronic noses, accurate judgments can be made on the internal and external decay status, pesticide residue status, and abnormal appearance status of fruits and vegetables, and then the sensor collection frequency and the amount of data stored in the blockchain ledger can be controlled through the judgment results, and accurate alarms can be made through the blockchain's smart contracts, achieving high processing speed and low storage requirements for blockchain, reducing the burden on users to view the ledger. Dynamic adjustment of the sensor collection frequency based on the status of various fruits and vegetables is achieved, reducing the energy consumption of running sensor collection and the amount of data stored in the blockchain ledger. The merged processing of the data stored in the blockchain ledger is achieved to ensure that the data is not distorted and reduce useless data.

[0080] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0081] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A digital management system for logistics services, characterized in that: include: Environmental sensors, electronic noses and visual sensors are all arranged in a refrigerated logistics transport device for transporting fruits and vegetables, and are used to obtain environmental data of refrigerated fruits and vegetables at an environmental acquisition frequency, obtain odor data of fruits and vegetables at an electronic nose acquisition frequency, and obtain surface images of fruits and vegetables at a visual acquisition frequency; A state judgment module, for identifying the internal and external decay state, pesticide residue state and appearance abnormal state of fruits and vegetables according to the odor data and the surface image; A frequency adjustment module, for adjusting the environmental collection frequency, the electronic nose collection frequency and the visual collection frequency according to the internal and external decay state, the pesticide residue state and / or the abnormal appearance state; A blockchain storage module, for storing the environmental data, the odor data and the surface image collected multiple times in a blockchain account book according to the internal and external decay state, the pesticide residue state and / or the abnormal appearance state; An alarm module is used to determine whether to generate alarm information including the environmental data, the odor data and the surface image according to the internal and external decay status, the pesticide residue status and the abnormal appearance status, and send the alarm information through the smart contract of the blockchain.

2. The digital management system for logistics services according to claim 1 is characterized in that: The state judgment module includes a support vector machine model, a neural network model and a comprehensive state determination unit; The support vector machine model is used to identify odor decay characteristics based on the odor data; The neural network model is used to identify surface decay features based on the surface image; The comprehensive state determination unit is used to determine the internal and external decay states according to the odor decay characteristics and the surface decay characteristics.

3. The digital management system for logistics services according to claim 2 is characterized in that: The internal and external decay states include the internal and external decay states, the internal decay states, the external decay states and the decay causes, wherein the decay causes include physical decay, microbial decay and oxidative decay; The frequency adjustment module is used to increase the environment acquisition frequency by the first environment dynamic frequency when the comprehensive state determination unit determines that the internal and external decay state is a simultaneous internal and external decay state or an external decay state, and the decay cause is microbial decay or oxidative decay; The frequency adjustment module is further used to increase the electronic nose collection frequency by a first odor dynamic frequency when the comprehensive state determination unit determines that the internal and external decay state is an internal decay state and the decay cause is microbial decay or oxidative decay; The frequency adjustment module is also used to increase the visual acquisition frequency by a first visual dynamic frequency when the comprehensive state determination unit determines that the cause of decay is physical decay.

4. The digital management system for logistics services according to claim 3 is characterized in that: The internal and external decay state also includes the decay grade; The frequency adjustment module is used to adjust the first environmental dynamic frequency, the first odor dynamic frequency or the first visual dynamic frequency according to the duration of the change in the decay level.

5. The digital management system for logistics services according to claim 4 is characterized in that: The pesticide residue state includes the pesticide residue level, and the appearance abnormality state includes the appearance abnormality level; The frequency adjustment module is further used to increase the electronic nose collection frequency by a second odor dynamic frequency and the environment collection frequency by a second environment dynamic frequency when the support vector machine model identifies the pesticide residue state, and the second odor dynamic frequency and the second environment dynamic frequency respectively correspond to the change duration of the pesticide residue level; The frequency adjustment module is also used to increase the visual acquisition frequency by a second visual dynamic frequency and the environmental acquisition frequency by a third environmental dynamic frequency when the neural network model identifies the abnormal appearance state, and the second visual dynamic frequency and the third environmental dynamic frequency respectively correspond to the duration of change of the appearance abnormality level.

6. The digital management system for logistics services according to any one of claims 1 to 5, characterized in that: The alarm module is used to send the alarm information through the smart contract of the blockchain when the environmental data exceeds the environmental threshold, wherein the environmental threshold is determined according to the internal and external decay state, the pesticide residue state and / or the abnormal appearance state.

7. The digital management system for logistics services according to claim 6, characterized in that: The blockchain storage module is used to merge and store the plurality of environmental data, the odor data and the surface image in the blockchain account book when the state judgment module identifies the internal and external decay state, the pesticide residue state or the abnormal appearance state.

8. The digital management system for logistics services according to claim 7 is characterized in that: The blockchain storage module is used to store the standard values ​​of the multiple environmental data, the standard values ​​of the multiple odor data, and the fused images generated by the image fusion algorithm of the multiple surface images in the ledger of the blockchain.

9. The digital management system for logistics services according to any one of claims 1 to 5, characterized in that: The alarm information includes the internal and external decay status, the pesticide residue status and the abnormal appearance status, and the correlation degree determination with the environmental data.

10. The digital management system for logistics services according to claim 9, characterized in that: The blockchain ledger is synchronously set up in the systems of the regulatory agency and the enterprise; The blockchain storage module is used to synchronously send the alarm information to the systems of the regulatory agency and the enterprise.

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